Abstract
AbstractTwo parallel implementations of a 3D convex hull algorithm are reported. The paper considers a MIMD distributed memory architecture and the implementations are carried out on the Meiko Computing Surface using T800 transputers and the programming languages Occam and C. The first method uses a simple parallel geometric decomposition strategy and produces encouraging results. With the second approach a parallel generic Divide‐and‐Conquer kernel is incorporated. This is an example of the algorithmic skeleton approach to parallel programming and involves run‐time, dynamic allocation of work to processors. The resulting performances for both methods are measured and compared.
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